A vector grid in 2 x 2 km resolution showing model results of environmental damage caused by spill of soluble oil from ships with size greater than 5000 t as incidents/million years weighted.This dataset has been produced by COWI (http://www.cowi.dk) for the BRISK project (Sub-regional risk of spill of oil and hazardous substances in the Baltic Sea, http://www.brisk.helcom.fi/). Fields: COL_NO (Dbl): Column ROW_NO (Dbl): Row WLoad (Dbl): Environmental damage (Incidents/million years weighted).

The data set is showing areas where estuaries occurs in the Baltic Sea area as points used for the BRISK project (Sub-regional risk of spill of oil and hazardous substances in the Baltic Sea, http://www.brisk.helcom.fi/). This dataset has been produced by COWI (http://www.cowi.dk) based on data collected from Finland (Copyright: SYKE). The dataset includes data provided by the BRISK Project Partner organisations from various Baltic Sea countries. The detailed documentation of what partner provided what data is given in the Annex of the document: 70618-3.1.2.2 Data Collection Report. Estuaries have a high biodiversity. They are important breeding and foraging areas for many birds and reproduction areas for many fish species. Stranded oil may degrade slowly and the risk for damage to the habitat is high during clean up actions. The organisms encountered in the habitat are generally very vulnerable to oil.

This dataset represents the underlying data on core indicator Zooplankton mean size and total stock (MSTS). The core indicator evaluates zooplankton community structure to determine whether it reflects good environmental status. The dataset contains following attributes: "Country" = Country "Assessment" = Name of HELCOM Level 2 assessment unit "Year" = Year of observation "Station" = Sampling station name "Latitude" = Latitude (WGS84 deicmal degrees) "Longitude" = Longitude (WGS84 deicmal degrees) "Sampling_t" = Sampling date and time "Mean_size" = Mean size (microg / individual) "Total_biom" = Total biomass (mg/m3) "Data_origi" = Data source organization "National_m" = National monitorig data (Yes/No) "Use_restri" = Data use restrictions (Yes/No)

This dataset represents the underlying data on core indicator Zooplankton mean size and total stock (MSTS). The core indicator evaluates zooplankton community structure to determine whether it reflects good environmental status. Quantitative thresholds are used to evaluate core indicators status in Achieve, Fail or Not assessed. As a rule, achieve status occur when large sized zooplankters occur abundantly in the plankton community. Due to strong environmental gradients, size distribution and total stock of the zooplankton corresponding to achieve status vary between the Baltic Sea sub-basins. This dataset displays the result of the indicator in HELCOM Assessment Scale 2 (Division of the Baltic Sea into 17 sub-basins). The dataset contains following attributes: "HELCOM_ID" = ID of the HELCOM scale 2 assessment unit "SB_Code" = Code of the HELCOM subbasin "Name" = Name of the HELCOM scale 2 assessment unit "Threshold value" = Threshold value for this indicator "Indicator value" = Value for the indicator in HELCOM scale 2 assessment unit "Status" = Status of the indicator (“Good”, “Not good” or “Not assessed”) "Info" = additional information "AULEVEL" = Assessment unit level used for the indicator "ConfA" = confidence of classification "ConfT" = Temporal confidence of classification "ConfS" = Spatial confidence of classification "ConfM" = Methodological confidence of classification

A vector grid in 2 x 2 km resolution showing model results of environmental impact caused by spill of soluble chemicals from ships with size greater than 5000 t as g oil / km^2 weighted.This dataset has been produced by COWI (http://www.cowi.dk) for the BRISK project (Sub-regional risk of spill of oil and hazardous substances in the Baltic Sea, http://www.brisk.helcom.fi/). Fields: COL_NO (Dbl): Column ROW_NO (Dbl): Row WLoad (Dbl): Environmental impact (g oil / km^2 weighted).

The dataset contains the number of hunted seals per species (ringed, harbour, and grey) per county/municipality as reported by the Contracting Parties for the period 2016-2021. The data was made available by HELCOM Contracting Parties in response to a data call. The data was reported by Denmark, Estonia, Finland, and Sweden. The activity was declared as not relevant in Germany, Latvia and Poland. Attribute specification and units: Area: Name of the area given by the national data provider DesArea: Unit area Grey_2016-Grey_2021: Number of individuals per year (2016 – 2021) for grey seals Harb_2016-Harb_2021: Number of individuals per year(2016 – 2021) for harbour seals Ring_2016-Ring_2021: Number of individuals per year (2016 – 2021) for ringed seals Notes: Notes regarding the data grey_avg: average of the number of individuals per year ringed_avg: average of the number of individuals per year harbo_avg: average of the number of individuals per year

This dataset describes fishing effort (hours/c-square) for midwater trawl in 2012 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). HELCOM requires spatially explicit information on fishing activity affecting the Baltic Sea marine ecosystem for policy purposes. In order to obtain this information a joint ICES/HELCOM/OSPAR data call was issued to relevant authorities of contracting parties to deliver information on fishing activity based on VMS/Log book data. The raw data was submitted to ICES and processed to advice data products by ICES Working Group for Spatial Fisheries (WGSFD) as requested by HELCOM. Processing of the raw data requires specific resources, knowledge and guarantee of anonymity for specific vessels, thus the process was done by ICES WGSFD following Conditions for VMS data use. In 2015 ICES collated Vessel Monitoring System (VMS) and logbook data received; data from Russia were not received. ICES provided to HELCOM advice as fishing abrasion pressure maps as well as fishing effort maps. HELCOM secretariat did the following processing to the data: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees Year: Year of fishing activity quarter: Quarter of the year, if applicable geargroup: Fishing gear group (Effort maps) SubsurfSAR: Subsurface swept area ratio (Intensity maps) SurfSAR: Surface swept area ratio (Intensity maps) Fishing_ho: Total fishing effort in hours within c-square (Effort maps) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data.

Sandbanks (according to Habitats Directive Annex I) are areas elevated from their surroundings that consist mainly of sand, but where cobbles and boulders can occur. Distribution map is based on data submission by HELCOM contracting parties. Most of the submitted data is based on modelling, GIS analysis and only limited ground-truthing has been carried out. Data coverage, accuracy and the methods in obtaining the data vary between countries.

Observations of Coregonus albula were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Coregonus albula has been placed to the Red List category of Least Concern (LC) species. The map shows the sub-basins in the HELCOM area where the species is known to occur regularly and to reproduce (HELCOM 2012).

This core indicator evaluates the abundance of selected functional groups of coastal fish in the Baltic Sea. Quantitative thresholds are used to classify core indicators status in "Achieve", "Fail" or "Not assessed". As a rule, good status is achieved when the abundance of piscivores (i.e. fish that feed on other fish) is above a site-specific threshold value, and the abundance of cyprinids or mesopredators (i.e. mid trophic-level fish) is within an acceptable range for the specific site. The status of functional groups of coastal fish in the Baltic Sea has been evaluated by assessing the status of piscivores and cyprinids/mesopredators during the period 2011-2016. This dataset displays the result of the indicator for piscivores in HELCOM Assessment Scale 3 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and offshore areas). Attribute information: "HELCOM_ID" = HELCOM ID of the HELCOM scale 3 assessment unit "Country" = Country/ Open sea "level_2" = Name of scale 2 HELCOM assessment unit "Name" = "level_3" = Name of scale 3 HELCOM assessment unit "Area (km2)" = Area of the HELCOM scale 3 assessment unit "Coastal" = Code of scale 3 HELCOM assessment unit  "Open sea" = Name of the open sea area "Coast_Code" = Code of scale 3 HELCOM assessment unit "Subbasin code" = Code of the HELCOM subbasin (scale 3) "Indicator" = Name of the indicator "Unit" = Unit of the indicator "Type" = 1 = boundary values increase/decrease monotonically, 2 = optimum range indicator "Threshold" = Threshold value of indicator "Indicator value" = Result value for the indicator "Status" = Status of the indicator (“Achieve”, “Fail” or “Not assessed”) "AULEVEL" = Assessment unit level used for the indicator "ConfA" = Confidence of classification "ConfT" = Temporal confidence of classification "ConfS" = Spatial confidence of classification "ConfM" = Methodological confidence of classification